Associate Director - Data Science

IN10 (FCRS = IN010) Novartis Healthcare Private Limited; Hyderabad; Hybrid; INR 6,000,000 - 10,000,000; Full time

Job summary

Novartis Healthcare Private Limited in Hyderabad invites an Associate Director - Data Science to lead the design and delivery of next‑generation Generative AI and agentic solutions, partnering with global stakeholders to solve biomedical challenges at scale.

The role blends scientific curiosity with technical excellence and strategic leadership to create impact for patients, researchers, and the enterprise AI capability across the company, while guiding teams and advancing data governance and

Qualifications

• 8+ years of experience designing, deploying, evaluating, and scaling Generative AI and agentic systems.
• Strong programming skills in Python, APIs, and cloud platforms; production-grade deployments.
• Proven ability to translate biomedical and business challenges into scalable data science strategies.
• Excellent communication and leadership to influence stakeholders across technical and non-technical audiences.

Responsibilities

• Lead the design, development, deployment, and monitoring of Generative AI and agentic solutions.
• Translate complex biomedical and business challenges into scalable data science and AI strategies.
• Drive innovation by applying advanced analytics, machine learning, and data management practices.
• Partner with scientific, technical, and business stakeholders to deliver measurable impact and strategic outcomes.
• Establish robust data lifecycle practices to ensure trusted, accessible, and high-quality enterprise data.
• Guide cross-functional teams in solving critical business problems through data-driven decision making.
• Evaluate and adopt emerging technologies, tools, and methodologies to advance analytical capabilities.
• Communicate insights and recommendations effectively to senior leaders and non-technical audiences.
• Build organizational capabilities through mentoring, coaching, knowledge sharing, and best-practice development.
• Contribute to external scientific communities through research, publications, and industry collaborations.

Skills

AI

Biostatistics

Data Governance

Data Literacy

Data Quality

Data Science

Data Visualization

Deep Learning

Machine Learning

Python

Tools

Python

APIs

Cloud Platforms

CI/CD

Job description

Job Description Summary Job Title: Associate Director - Data Science #LI-Hybrid Location: Hyderabad, India Relocation Support: Yes Join Novartis at the forefront of scientific innovation, where advanced Artificial Intelligence and Data Science are transforming how we discover insights and address unmet medical needs. As an Associate Director - Data Science, you will lead the design and delivery of next-Generation Generative Artificial Intelligence and agentic solutions, partnering with global stakeholders to solve complex biomedical challenges at scale. This is an opportunity to combine scientific curiosity, technical excellence, and strategic leadership to create measurable impact for patients, researchers, and the future of healthcare while shaping the evolution of enterprise AI capabilities across Novartis.

Key Responsibilities

• Lead the design, development, deployment, and monitoring of Generative Artificial Intelligence and agentic solutions.
• Translate complex biomedical and business challenges into scalable data science and artificial intelligence strategies.
• Drive innovation by applying advanced analytics, machine learning, and enterprise data management practices.
• Partner with scientific, technical, and business stakeholders to deliver measurable impact and strategic outcomes.
• Establish robust data lifecycle practices to ensure trusted, accessible, and high-quality enterprise data.
• Guide cross-functional teams in solving critical business problems through data-driven decision making.
• Evaluate and adopt emerging technologies, tools, and methodologies to advance analytical capabilities.
• Communicate insights and recommendations effectively to senior leaders and non-technical audiences.
• Build organizational capabilities through mentoring, coaching, knowledge sharing, and best-practice development.
• Contribute to external scientific communities through research, publications, and industry collaborations.

Essential Requirements

• 8+ Years expertise in designing, deploying, evaluating, and scaling Generative Artificial Intelligence and agentic systems.
• Strong programming and software engineering experience using Python, application programming interfaces, and cloud platforms.
• Experience building production-grade solutions with testing, continuous integration, deployment, observability, and security practices.
• Demonstrated ability to apply machine learning, advanced analytics, and data science to complex business challenges.
• Strong stakeholder management skills with the ability to translate scientific needs into practical solutions.
• Excellent communication and leadership capabilities, influencing decisions across technical and non-technical audiences.

Skills Desired

• Artificial Intelligence (AI)
• Biostatistics
• Business Value Creation
• Change Management
• Curious Mindset
• Data Governance
• Data Literacy
• Data Quality
• Data Science
• Data Visualization
• Deep Learning
• Graph Algorithms
• Learning Agility
• Machine Learning (ML)
• Machine Learning Algorithms
• Python (Programming Language)
• Stakeholder Engagement
• Statistical Analysis
• Time Series Analysis

Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

Accessibility and accommodation Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [e-mail] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

In the context of China Cross-Border Data Transfer (CBDT) policy, if you need to apply for a position in China, please go to the local Recruiting System TaleNov .